{"id":"https://openalex.org/W4312448751","doi":"https://doi.org/10.1109/iscc55528.2022.9912822","title":"Impact of the glycaemic sampling method in diabetes data mining","display_name":"Impact of the glycaemic sampling method in diabetes data mining","publication_year":2022,"publication_date":"2022-06-30","ids":{"openalex":"https://openalex.org/W4312448751","doi":"https://doi.org/10.1109/iscc55528.2022.9912822"},"language":"en","primary_location":{"id":"doi:10.1109/iscc55528.2022.9912822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc55528.2022.9912822","pdf_url":null,"source":{"id":"https://openalex.org/S4363605780","display_name":"2022 IEEE Symposium on Computers and Communications (ISCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065787978","display_name":"Diogo Machado","orcid":"https://orcid.org/0000-0002-9756-3269"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Diogo Machado","raw_affiliation_strings":["Instituto de Telecomunicações,Porto,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicações,Porto,Portugal","institution_ids":["https://openalex.org/I4210120471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059093687","display_name":"V\u0131\u0301tor Santos Costa","orcid":"https://orcid.org/0000-0002-3344-8237"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Vitor Santos Costa","raw_affiliation_strings":["Universidade do Porto,INESC-TEC, Faculdade de Ciências da,Porto,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade do Porto,INESC-TEC, Faculdade de Ciências da,Porto,Portugal","institution_ids":["https://openalex.org/I182534213","https://openalex.org/I4210166615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067641738","display_name":"Pedro Brand\u00e3o","orcid":"https://orcid.org/0000-0002-4681-7652"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Pedro Brandao","raw_affiliation_strings":["Instituto de Telecomunicações,Porto,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicações,Porto,Portugal","institution_ids":["https://openalex.org/I4210120471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5953625440597534},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.521565854549408},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.5116887092590332},{"id":"https://openalex.org/keywords/continuous-glucose-monitoring","display_name":"Continuous glucose monitoring","score":0.5022773742675781},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4966498017311096},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4954723119735718},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4778580069541931},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.34664756059646606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.293260395526886},{"id":"https://openalex.org/keywords/type-1-diabetes","display_name":"Type 1 diabetes","score":0.09170711040496826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5953625440597534},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.521565854549408},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.5116887092590332},{"id":"https://openalex.org/C2986379492","wikidata":"https://www.wikidata.org/wiki/Q1638492","display_name":"Continuous glucose monitoring","level":4,"score":0.5022773742675781},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4966498017311096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4954723119735718},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4778580069541931},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.34664756059646606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.293260395526886},{"id":"https://openalex.org/C2781232474","wikidata":"https://www.wikidata.org/wiki/Q124407","display_name":"Type 1 diabetes","level":3,"score":0.09170711040496826},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc55528.2022.9912822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc55528.2022.9912822","pdf_url":null,"source":{"id":"https://openalex.org/S4363605780","display_name":"2022 IEEE Symposium on Computers and Communications (ISCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2250140425","https://openalex.org/W2734587838","https://openalex.org/W2091018730","https://openalex.org/W2079993633","https://openalex.org/W2389064843","https://openalex.org/W2078736197","https://openalex.org/W2098669189","https://openalex.org/W2389272265","https://openalex.org/W1543345676","https://openalex.org/W2360399323"],"abstract_inverted_index":{"Finger-pricking":[0],"is":[1,9,18],"the":[2,14,50,79,88,100,108],"traditional":[3],"procedure":[4],"for":[5,92],"glycaemia":[6,37],"monitoring.":[7],"It":[8],"an":[10],"invasive":[11],"method":[12,35,123],"where":[13],"person":[15],"with":[16],"diabetes":[17,147],"required":[19],"to":[20,46,59,64,106,126],"prick":[21],"their":[22],"finger.":[23],"In":[24,95],"recent":[25],"years,":[26],"continuous-glucose":[27],"monitoring":[28],"(CGM),":[29],"a":[30,118,121,143],"new":[31],"and":[32,63,81,137,149],"more":[33,74,135],"convenient":[34],"of":[36,52,68,83,90,110],"monitoring,":[38],"has":[39],"become":[40],"prevalent.":[41],"CGM":[42,71,84],"provides":[43,72],"continuous":[44],"access":[45],"glycaemic":[47,61,93,140],"values":[48,141],"without":[49],"need":[51],"finger-pricking.":[53,77],"Data":[54],"mining":[55],"can":[56],"be":[57],"used":[58],"understand":[60],"values,":[62],"ideally":[65],"warn":[66],"users":[67],"abnormal":[69],"situations.":[70],"significantly":[73],"data":[75,85,102,151],"than":[76],"Thus,":[78],"amount":[80],"value":[82],"ultimately":[86],"questions":[87],"role":[89,145],"finger-pricking":[91],"studies.":[94],"this":[96],"work":[97],"we":[98],"use":[99,114],"OhioTlDM":[101],"set":[103],"in":[104],"order":[105],"study":[107],"importance":[109],"finger-prick-based":[111,139],"data.":[112],"We":[113],"Random":[115],"Forest":[116],"as":[117],"classification":[119],"method,":[120],"robust":[122],"that":[124],"tends":[125],"obtain":[127],"quality":[128],"results.":[129],"Our":[130],"results":[131],"indicate":[132],"that,":[133],"although":[134],"demanding":[136],"scarcer,":[138],"have":[142],"significant":[144],"on":[146,150],"management":[148],"mining.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}